Improving semantic interoperability of big data for epidemiological surveillance

João Moreira; Marten J. van Sinderen; Luis Ferreira Pires; P. Dockhorn Costa

Improving semantic interoperability of big data for epidemiological surveillance

João Moreira, Marten J. van Sinderen, Luis Ferreira Pires, P. Dockhorn Costa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Future disease outbreaks may spread faster and stronger than recent epidemics, such as Zika, Ebola and Influenza. The integration of multiple existing Early Warning Systems (EWS) is a requirement to support disease surveillance in combating infectious disease outbreaks. In this direction, numerous applications have been developed considering big data from diverse sources. However, big data potential can only be exploited if interoperability challenges are addressed. In this paper we discuss a semantic interoperability problem when using data exchanging standards for EWS integration. Particularly, we identify an issue regarding the distinction between the concepts of situation and event in the Emergency Data Exchange Language (EDXL), the OASIS set of standards for disaster management. To cope with interoperability issues we propose an ontology-driven situation-aware approach for the development and integration of EWS. The approach leverages on the OntoEmerge core ontology, in which we incorporate the clear distinction between the concepts of situation and event.

Original language	English
Title of host publication	Enterprise Interoperability in the Digitized and Networked Factory of the Future, I-ESA 2016
Editors	Martin Zelm, Guy Doumeingts, Joao Pedro Mendonca
Place of Publication	UK
Publisher	International Society for Technology in Education
Pages	314-324
Number of pages	11
ISBN (Print)	9781847040442
Publication status	Published - Mar 2016
Event	8th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2016 - Guimaraes, Portugal Duration: 29 Mar 2016 → 1 Apr 2016 Conference number: 8

Conference

Conference	8th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2016
Abbreviated title	I-ESA
Country/Territory	Portugal
City	Guimaraes
Period	29/03/16 → 1/04/16

Keywords

SCS-Services
Ontology
EWI-27322
Disease surveillance
Disaster risk reduction
IR-102591
Situation awareness
EDXL
Early warning system
METIS-319465
Semantic Interoperability

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Cite this

Moreira, J., van Sinderen, M. J., Ferreira Pires, L., & Dockhorn Costa, P. (2016). Improving semantic interoperability of big data for epidemiological surveillance. In M. Zelm, G. Doumeingts, & J. P. Mendonca (Eds.), Enterprise Interoperability in the Digitized and Networked Factory of the Future, I-ESA 2016 (pp. 314-324). International Society for Technology in Education. http://www.iste.co.uk/index.php?p=a&ACTION=View&id=1073

Moreira, João ; van Sinderen, Marten J. ; Ferreira Pires, Luis et al. / Improving semantic interoperability of big data for epidemiological surveillance. Enterprise Interoperability in the Digitized and Networked Factory of the Future, I-ESA 2016. editor / Martin Zelm ; Guy Doumeingts ; Joao Pedro Mendonca. UK : International Society for Technology in Education, 2016. pp. 314-324

@inproceedings{fba1c84fd0b0442c9374b3cca00bd333,

title = "Improving semantic interoperability of big data for epidemiological surveillance",

abstract = "Future disease outbreaks may spread faster and stronger than recent epidemics, such as Zika, Ebola and Influenza. The integration of multiple existing Early Warning Systems (EWS) is a requirement to support disease surveillance in combating infectious disease outbreaks. In this direction, numerous applications have been developed considering big data from diverse sources. However, big data potential can only be exploited if interoperability challenges are addressed. In this paper we discuss a semantic interoperability problem when using data exchanging standards for EWS integration. Particularly, we identify an issue regarding the distinction between the concepts of situation and event in the Emergency Data Exchange Language (EDXL), the OASIS set of standards for disaster management. To cope with interoperability issues we propose an ontology-driven situation-aware approach for the development and integration of EWS. The approach leverages on the OntoEmerge core ontology, in which we incorporate the clear distinction between the concepts of situation and event.",

keywords = "SCS-Services, Ontology, EWI-27322, Disease surveillance, Disaster risk reduction, IR-102591, Situation awareness, EDXL, Early warning system, METIS-319465, Semantic Interoperability",

author = "Jo{\~a}o Moreira and {van Sinderen}, {Marten J.} and {Ferreira Pires}, Luis and {Dockhorn Costa}, P.",

note = "eemcs-eprint-27322 ; 8th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2016, I-ESA ; Conference date: 29-03-2016 Through 01-04-2016",

year = "2016",

month = mar,

language = "English",

isbn = "9781847040442",

pages = "314--324",

editor = "Martin Zelm and Guy Doumeingts and Mendonca, {Joao Pedro}",

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}

Moreira, J , van Sinderen, MJ , Ferreira Pires, L & Dockhorn Costa, P 2016, Improving semantic interoperability of big data for epidemiological surveillance. in M Zelm, G Doumeingts & JP Mendonca (eds), Enterprise Interoperability in the Digitized and Networked Factory of the Future, I-ESA 2016. International Society for Technology in Education, UK, pp. 314-324, 8th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2016, Guimaraes, Portugal, 29/03/16. <http://www.iste.co.uk/index.php?p=a&ACTION=View&id=1073>

Improving semantic interoperability of big data for epidemiological surveillance. / Moreira, João ; van Sinderen, Marten J.; Ferreira Pires, Luis et al.
Enterprise Interoperability in the Digitized and Networked Factory of the Future, I-ESA 2016. ed. / Martin Zelm; Guy Doumeingts; Joao Pedro Mendonca. UK: International Society for Technology in Education, 2016. p. 314-324.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Improving semantic interoperability of big data for epidemiological surveillance

AU - Moreira, João

AU - van Sinderen, Marten J.

AU - Ferreira Pires, Luis

AU - Dockhorn Costa, P.

N1 - Conference code: 8

PY - 2016/3

Y1 - 2016/3

N2 - Future disease outbreaks may spread faster and stronger than recent epidemics, such as Zika, Ebola and Influenza. The integration of multiple existing Early Warning Systems (EWS) is a requirement to support disease surveillance in combating infectious disease outbreaks. In this direction, numerous applications have been developed considering big data from diverse sources. However, big data potential can only be exploited if interoperability challenges are addressed. In this paper we discuss a semantic interoperability problem when using data exchanging standards for EWS integration. Particularly, we identify an issue regarding the distinction between the concepts of situation and event in the Emergency Data Exchange Language (EDXL), the OASIS set of standards for disaster management. To cope with interoperability issues we propose an ontology-driven situation-aware approach for the development and integration of EWS. The approach leverages on the OntoEmerge core ontology, in which we incorporate the clear distinction between the concepts of situation and event.

AB - Future disease outbreaks may spread faster and stronger than recent epidemics, such as Zika, Ebola and Influenza. The integration of multiple existing Early Warning Systems (EWS) is a requirement to support disease surveillance in combating infectious disease outbreaks. In this direction, numerous applications have been developed considering big data from diverse sources. However, big data potential can only be exploited if interoperability challenges are addressed. In this paper we discuss a semantic interoperability problem when using data exchanging standards for EWS integration. Particularly, we identify an issue regarding the distinction between the concepts of situation and event in the Emergency Data Exchange Language (EDXL), the OASIS set of standards for disaster management. To cope with interoperability issues we propose an ontology-driven situation-aware approach for the development and integration of EWS. The approach leverages on the OntoEmerge core ontology, in which we incorporate the clear distinction between the concepts of situation and event.

KW - SCS-Services

KW - Ontology

KW - EWI-27322

KW - Disease surveillance

KW - Disaster risk reduction

KW - IR-102591

KW - Situation awareness

KW - EDXL

KW - Early warning system

KW - METIS-319465

KW - Semantic Interoperability

M3 - Conference contribution

SN - 9781847040442

SP - 314

EP - 324

BT - Enterprise Interoperability in the Digitized and Networked Factory of the Future, I-ESA 2016

A2 - Zelm, Martin

A2 - Doumeingts, Guy

A2 - Mendonca, Joao Pedro

PB - International Society for Technology in Education

CY - UK

T2 - 8th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2016

Y2 - 29 March 2016 through 1 April 2016

ER -

Improving semantic interoperability of big data for epidemiological surveillance

Abstract

Conference

Keywords

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Cite this